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--- |
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library_name: transformers |
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license: mit |
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base_model: gpt2-medium |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: chessgpt-medium-s |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# chessgpt-medium-s |
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0974 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9222 | 0.08 | 125 | 1.6441 | |
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| 1.5847 | 0.16 | 250 | 1.4532 | |
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| 1.4585 | 0.24 | 375 | 1.3629 | |
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| 1.3801 | 0.32 | 500 | 1.3059 | |
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| 1.3296 | 0.4 | 625 | 1.2550 | |
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| 1.2856 | 0.48 | 750 | 1.2185 | |
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| 1.2502 | 0.56 | 875 | 1.1902 | |
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| 1.2231 | 0.64 | 1000 | 1.1635 | |
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| 1.1978 | 0.72 | 1125 | 1.1451 | |
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| 1.1823 | 0.8 | 1250 | 1.1242 | |
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| 1.1688 | 0.88 | 1375 | 1.1113 | |
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| 1.1544 | 0.96 | 1500 | 1.1008 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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